Update README.md

README.md

@@ -62,35 +62,8 @@ datasets:
 ### Option 1: From Hugging Face Hub (Recommended)
 
 ```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
 
 model_id = "Irfanuruchi/Llama-3.2-1B-Computer-Engineering-LLM"
-
-model = AutoModelForCausalLM.from_pretrained(
-    model_id,
-    device_map="auto",
-    torch_dtype="auto", 
-    trust_remote_code=True
-)
-
-tokenizer = AutoTokenizer.from_pretrained(
-    model_id,
-    use_fast=False  # Required for proper Llama tokenization
-)
-
-prompt = "Explain the von Neumann architecture:"
-inputs = tokenizer(prompt, return_tensors="pt").to(model.device)  
-
-outputs = model.generate(
-    **inputs,
-    max_new_tokens=200,  
-    temperature=0.7,     
-    top_p=0.9,          
-    do_sample=True,   
-    repetition_penalty=1.1  
-)
-
-print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
 ### Option 2: Local Installation (Git LFS Required)
@@ -103,16 +76,6 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 # Replace with your local path
 model_path = "./Llama-3.2-1B-ComputerEngineeringLLM"  
 
-model = AutoModelForCausalLM.from_pretrained(
-    model_path,
-    device_map="auto",
-    local_files_only=True
-)
-tokenizer = AutoTokenizer.from_pretrained(
-    model_path,
-    use_fast=False,  # Required for Llama tokenizer
-    local_files_only=True
-)
 ```
 
 *Recomended Config*